CN214376017U - Power equipment fault inspection system - Google Patents
Power equipment fault inspection system Download PDFInfo
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- CN214376017U CN214376017U CN202022500089.1U CN202022500089U CN214376017U CN 214376017 U CN214376017 U CN 214376017U CN 202022500089 U CN202022500089 U CN 202022500089U CN 214376017 U CN214376017 U CN 214376017U
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Abstract
The utility model provides a power equipment fault inspection system, which comprises a rail type inspection robot, a rail component and a monitoring unit, wherein the rail component is arranged in the internal environment of a transformer substation, and the rail type inspection robot comprises an infrared acquisition module and an electric field sensing module; the monitoring unit comprises a fault identification module and a storage module, the infrared acquisition module and the electric field sensing module are both connected with the fault identification module, and the fault identification module analyzes and processes according to an infrared image acquired by the infrared acquisition module and the electric field intensity acquired by the electric field sensing module so as to determine the operating state of the power equipment; the fault identification module is connected with the storage module. The utility model discloses an infrared acquisition module and electric field sensing module can provide more comprehensive judgement basis for the fault detection of power equipment; through the fault identification module based on the SSD neural network model, infrared image abnormity detection can be automatically carried out, detection precision and efficiency are improved, labor cost is saved, and safety of power equipment is guaranteed.
Description
Technical Field
The utility model relates to a power equipment patrols and examines technical field, particularly, relates to a power equipment trouble system of patrolling and examining.
Background
With the continuous development and improvement of the power grid informatization process, the types and the quantity of the transformer substation equipment are more and more, and in order to ensure the normal, efficient and safe operation of each system in an enterprise, the normative, the rapidness and the scientificity of the maintenance and the itinerant detection of the transformer substation equipment are more and more important
When various power equipment faults are encountered, a power company usually depends on a manual scheduling mode to carry out maintenance and itinerant detection, and if the detection precision is not guaranteed, certain faults which need to be repaired urgently are probably not repaired effectively;
the infrared thermal imager has the advantages of non-contact uninterrupted power detection of power equipment and the like, is widely used in each power unit, and along with the application and popularization of intelligent equipment such as intelligent inspection and fixed-point monitoring of a transformer substation, the infrared image data is continuously increased, massive inspection infrared image data is retrieved and analyzed manually, and the time, labor and efficiency are low. And in order to ensure the operation safety of the power equipment, the power equipment in the transformer substation meets the grounding requirement. However, since the grounding device of the power equipment is usually buried deeply in the ground, it is impossible to determine whether the grounding of the power equipment is good or not through the ground portion, which makes the inspection difficult.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to solve the problem that exists among the prior art, provide a power equipment trouble system of patrolling and examining.
The embodiment of the utility model discloses a realize through following technical scheme: a power equipment fault inspection system comprises a rail type inspection robot, a rail assembly and a monitoring unit, wherein the rail assembly is arranged in the internal environment of a transformer substation and used for providing guidance for the rail type inspection robot, and the rail type inspection robot comprises an infrared acquisition module and an electric field sensing module;
the monitoring unit comprises a fault recognition module and a storage module, the output end of the infrared acquisition module and the output end of the electric field sensing module are both connected with the input end of the fault recognition module, and the fault recognition module is used for analyzing and processing according to the infrared image acquired by the infrared acquisition module and the electric field intensity acquired by the electric field sensing module so as to determine the running state of the power equipment; and the first output end of the fault identification module is connected with the input end of the storage module.
According to a preferred embodiment, the monitoring unit further comprises an image processing module, a data set module, a model construction module and a model training module, wherein the storage module and the image processing module are sequentially connected with the data set module;
the data set module is used for constructing a data set based on the infrared image processed by the image processing module; the model construction module is used for constructing an SSD pre-training model; the model training module is connected with the data set module and used for loading the data set and training the SSD pre-training model to obtain a final model file; the final model file is embedded in the fault identification module.
According to a preferred embodiment, the monitoring unit further comprises an alarm module, and the second output end of the fault identification module is connected to the alarm module.
According to a preferred embodiment, the alarm module is composed of a plurality of levels of alarm sub-modules, and the plurality of levels of alarm sub-modules are used for performing different levels of alarms through the alarm sub-modules of corresponding levels according to the hierarchical alarm information output by the fault identification module.
According to a preferred embodiment, the rail-mounted inspection robot further comprises a radio frequency module, and radio frequency tags are arranged on the rail assembly at intervals.
According to a preferred embodiment, the track type inspection robot further comprises a distance measuring module, the distance measuring module is used for collecting power equipment/barrier distance data, and the distance measuring module is consistent with the collecting direction of the infrared collecting module.
According to a preferred embodiment, the distance measuring module is selected from one or more of laser distance measurement and ultrasonic distance measurement.
The utility model discloses technical scheme has following advantage and beneficial effect at least: the utility model discloses a set up infrared acquisition module and electric field sensing module, can provide more comprehensive judgement basis for the trouble of power equipment; through the fault identification module based on the SSD neural network model, infrared image abnormity detection can be automatically carried out, the detection precision and efficiency are improved, the labor cost is saved, the safety of power equipment is ensured, the fault can be quickly positioned through the radio frequency module and the radio frequency tag, and the quick overhaul of operation and maintenance personnel is facilitated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a structural diagram of a power equipment fault inspection system provided by the present invention;
fig. 2 is the utility model provides a SSD based on MobileNets network trains the detection block diagram of model in advance.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention, as generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the accompanying drawings, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts belong to the protection scope of the present invention.
In the description of the present invention, it should be further noted that unless otherwise explicitly stated or limited, the terms "disposed," "mounted," "connected," and "connected" should be interpreted broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
As shown in fig. 1, the present embodiment provides a power equipment fault inspection system, which includes a rail-type inspection robot, a rail assembly and a monitoring unit, wherein the rail assembly is disposed in an internal environment of a substation and is used for providing guidance for the rail-type inspection robot, the rail-type inspection robot includes an infrared acquisition module, a signal transmission module, a control module and an electric field sensing module, the infrared acquisition module and the electric field sensing module are connected to the control module and are controlled by the control module in a unified manner, the control module controls the rail-type inspection robot to start and stop, the infrared acquisition module and the electric field sensing module are connected to the monitoring unit through the signal transmission module, the infrared acquisition module is used for acquiring infrared images of power equipment, the electric field sensing module is used for acquiring electric field intensity around the rail-type inspection robot, and a grounding device of the power equipment which cannot be acquired by the infrared acquisition module can be acquired by setting the electric field sensing module, the fault detection misjudgment of the power equipment is avoided due to the fact that the power equipment is missed or missed, the running state of the power equipment can be comprehensively collected through the use of the two in a matched mode, more sufficient judgment basis is provided for fault judgment, and the running safety of the power equipment is guaranteed.
The monitoring unit comprises a fault identification module and a storage module, and the output end of the infrared acquisition module and the output end of the electric field sensing module are connected with the input end of the fault identification module and are used for transmitting the acquired infrared images and the electric field intensity to the fault identification unit; optionally, the infrared acquisition module and the power plant sensing module are further connected with the storage module and used for transmitting the acquired original data to the storage module for storage; the fault identification module is used for analyzing and processing according to the infrared image acquired by the infrared acquisition module and the electric field intensity acquired by the electric field sensing module so as to determine the running state of the power equipment;
and the first output end of the fault identification module is connected with the input end of the storage module and used for transmitting the detection result of the power equipment to the storage module to be stored as historical data.
Preferably, the monitoring unit further comprises an image processing module, a data set module, a model building module and a model training module, wherein the storage module and the image processing module are sequentially connected with the data set module, and the image processing module calls historical data stored in the storage module or infrared image abnormal data collected on the internet to perform uniform preprocessing, such as cutting, image enhancement, correction, labeling and the like, so as to meet the requirements of training samples; the data set module is used for constructing a data set based on the infrared image processed by the image processing module; the model construction module is used for constructing an SSD pre-training model; the model training module is connected with the data set module and used for loading the data set and training the SSD pre-training model to obtain a final model file; and finally, embedding the model file into a fault identification module so that the fault identification module can automatically identify faults of the real-time infrared image, and combining the infrared image subjected to fault identification with the judgment of the electric field intensity on a grounding device to obtain the specific running state of the power equipment, so that the labor is saved through automatic analysis, and the efficiency and the precision of fault identification are improved. As shown in fig. 2, the SSD pre-training model is based on a lightweight MobileNets network, and based on the MobileNets network, average pooling layers and full connection layers are deleted, and Conv13d2_1 × 1, Conv13d2_3 × 3, Conv13d3_1 × 1, Conv13d3_3 × 3, Conv13d4_1 × 1, Conv13d4_3 × 3, Conv13d5_1 × 1 and Conv13d5_3 × 3 rolling layers are added, wherein 16 × 300 × 3 represents a three-channel 300 × 300 picture with a batch — 16 input; 3 x 32 represents the convolution kernel size of 3 x 3, the input channel of 3 and the output channel of 32.
Preferably, the monitoring unit further comprises an alarm module, and a second output end of the fault identification module is connected with the alarm module, so that real-time alarm of fault information is realized, and the condition that some faults which are in urgent need of maintenance cannot be effectively overhauled due to low detection efficiency is avoided.
Preferably, the warning module is composed of a multi-level warning submodule, and the multi-level warning submodule is used for warning in a grading manner according to the warning information output by the fault identification module, wherein the common red heat abnormal region comprises a point shape, a short strip shape, a short disk shape, a bulk shape, a long strip shape, a disk shape and a large-area irregular shape. Optionally, the point, short strip and short disc types are classified into 1 type, which is a general emergency type, further, the general emergency type can be further classified into three types according to the situation, the bulk, long strip and disc types are classified into 2 types, which are emergency types, and further, the emergency type can be further classified into three types according to the situation; large area irregular shapes locate class 3, which is a special anomaly class. By classifying and grading the faults, different levels of alarm can be performed through the alarm sub-modules of the corresponding levels.
Optionally, the rail-mounted inspection robot further comprises a radio frequency module, and radio frequency tags are arranged on the rail assembly at intervals, so that the rail-mounted inspection robot is positioned; optionally, each power device is also provided with a radio frequency tag, wherein the radio frequency tag comprises device information, device position information and the like, wherein the data acquired by the infrared acquisition module and the device information acquired by the radio frequency module are transmitted to the monitoring unit in a mapping manner, so that the fault can be quickly positioned, and the quick overhaul of operation and maintenance personnel is facilitated.
Preferably, the track type inspection robot further comprises a distance measurement module, the distance measurement module is used for collecting power equipment/barrier distance data, and the distance measurement module is consistent with the collection direction of the infrared collection module. Preferably, the rail type inspection robot is configured to perform fixed-point acquisition, that is, acquisition of the power equipment is performed at a specific position of the rail assembly, and the rail type inspection robot is configured to block obstacles, such as a trunk, which may occur, between the infrared acquisition module and the power equipment, the distance between the power equipment and the infrared acquisition module is acquired through the distance measurement module, and whether the distance information acquired by the distance measurement module is blocked by a barrier can be obtained, so that the infrared image acquisition of the power equipment is prevented from being influenced by the blocking of the barrier, secondly, a plurality of distance measuring modules are arranged, for example, right in front of the rail type inspection robot, whether obstacles which may influence the travel of the rail type inspection robot exist on the rail assembly can be identified, optionally, the track type inspection robot is provided with a barrier clearing device, such as a mechanical arm, so that damage to the track type inspection robot and influence on normal inspection are avoided.
Optionally, the distance measuring module selects one or more of laser distance measurement and ultrasonic distance measurement.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. The power equipment fault inspection system is characterized by comprising a rail type inspection robot, a rail assembly and a monitoring unit, wherein the rail assembly is arranged in the internal environment of a transformer substation and used for providing guidance for the rail type inspection robot;
the monitoring unit comprises a fault recognition module and a storage module, the output end of the infrared acquisition module and the output end of the electric field sensing module are both connected with the input end of the fault recognition module, and the fault recognition module is used for analyzing and processing according to the infrared image acquired by the infrared acquisition module and the electric field intensity acquired by the electric field sensing module so as to determine the running state of the power equipment; and the first output end of the fault identification module is connected with the input end of the storage module.
2. The power equipment fault inspection system according to claim 1, wherein the monitoring unit further includes an alarm module,
and the second output end of the fault identification module is connected with the alarm module.
3. The power equipment fault inspection system according to claim 2, wherein the alarm module is composed of a plurality of levels of alarm sub-modules,
and the multi-level alarm sub-modules are used for carrying out different levels of alarms through the alarm sub-modules at corresponding levels according to the graded alarm information output by the fault identification module.
4. The power equipment fault inspection system according to claim 3, wherein the rail-based inspection robot further includes a radio frequency module, and the rail assembly is provided with radio frequency tags at intervals.
5. The power equipment fault inspection system according to claim 1, wherein the rail-based inspection robot further includes a distance measurement module for collecting power equipment/obstacle distance data, the distance measurement module being in accordance with the collection direction of the infrared collection module.
6. The power equipment fault inspection system according to claim 5, wherein the ranging module selects one or more of laser ranging and ultrasonic ranging.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022500089.1U CN214376017U (en) | 2020-11-02 | 2020-11-02 | Power equipment fault inspection system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022500089.1U CN214376017U (en) | 2020-11-02 | 2020-11-02 | Power equipment fault inspection system |
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| CN214376017U true CN214376017U (en) | 2021-10-08 |
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| CN202022500089.1U Active CN214376017U (en) | 2020-11-02 | 2020-11-02 | Power equipment fault inspection system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116298474A (en) * | 2023-05-18 | 2023-06-23 | 四川嘉能佳电力集团有限责任公司 | Power operation and maintenance safety monitoring method and system based on live state real-time detection |
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2020
- 2020-11-02 CN CN202022500089.1U patent/CN214376017U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116298474A (en) * | 2023-05-18 | 2023-06-23 | 四川嘉能佳电力集团有限责任公司 | Power operation and maintenance safety monitoring method and system based on live state real-time detection |
| CN116298474B (en) * | 2023-05-18 | 2023-08-15 | 四川嘉能佳电力集团有限责任公司 | Power operation and maintenance safety monitoring method and system based on live state real-time detection |
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